Instructions to use aevynt/JupiMind-Dense-J1R-Tokenizer-24k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aevynt/JupiMind-Dense-J1R-Tokenizer-24k with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aevynt/JupiMind-Dense-J1R-Tokenizer-24k", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<bos>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<eos>", | |
| "extra_special_tokens": [ | |
| "<|im_start|>", | |
| "<|im_end|>", | |
| "<think>", | |
| "</think>", | |
| "<tool_call>", | |
| "</tool_call>", | |
| "<tool_response>", | |
| "</tool_response>", | |
| "<tools>", | |
| "</tools>" | |
| ], | |
| "model_max_length": 4096, | |
| "pad_token": "<pad>", | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>" | |
| } | |